Course Outline

Introduction to Google Vertex AI

  • Overview of Google Vertex AI and its capabilities
  • Key features and benefits for AI model development
  • Understanding the Vertex AI workflow

Setting Up Google Vertex AI

  • Creating a Google Cloud account and setting up Vertex AI
  • Configuring the environment and managing resources
  • Exploring Vertex AI's interface and tools

Developing AI Models with Vertex AI

  • Data preparation and preprocessing techniques
  • Training custom AI models using Vertex AI
  • Evaluating model performance and accuracy

Deploying and Managing AI Models

  • Deployment strategies for AI models on Google Cloud Platform
  • Monitoring and maintaining deployed models
  • Scaling AI solutions to meet demand

Advanced Features and Optimization

  • Utilizing Vertex AI's advanced tools and services
  • Optimizing model performance for specific use cases
  • Implementing best practices for model development and deployment

Real-World Applications and Case Studies

  • Exploring use cases of Vertex AI in various industries
  • Case studies of successful AI implementations
  • Discussion on challenges and lessons learned

Summary and Next Steps

Requirements

  • Basic understanding of AI and machine learning concepts
  • Familiarity with programming languages (Python recommended)
  • Experience with cloud platforms (Google Cloud Platform preferred)

Audience

  • Developers
  • Data scientists
  • Tech professionals
 14 Hours

Delivery Options

Private Group Training

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  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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